Is this server ready for production use?
No. The project is in pre‑alpha development and is **not ready for production**. Tools are actively being developed and may change significantly.
@ReadyPlayerSix
Basic information
A comprehensive MCP server combining file system access, AI Librarian, context compression, and project scaffolding tools
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ai-dev-tookit": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A pre‑alpha Model Context Protocol (MCP) server that combines file system tools, an AI Librarian for persistent code comprehension, project scaffolding, a structured Think Tool, and future context compression. It is designed to enhance AI assistants like Claude by giving them direct access to development workflows on the user’s local machine.
Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, then start the server with python src/server.py. Connect Claude Desktop by either running connect_to_claude.bat (Windows, administrator) or by manually adding a server in Settings > MCP Servers with name “AI Dev Toolkit” and URL http://localhost:8000. Once connected, invoke tools in Claude by typing @AI Dev Toolkit.
No. The project is in pre‑alpha development and is **not ready for production**. Tools are actively being developed and may change significantly.
Python 3.8 or higher, an MCP‑compatible AI assistant (e.g., Claude Desktop), and administrator privileges on Windows if using the automatic connection script.
On Windows, run `connect_to_claude.bat` as administrator. Alternatively, manually add a server in Claude Desktop (Settings > MCP Servers > Add Server) with the name “AI Dev Toolkit” and the URL `http://localhost:8000`.
The AI Librarian and future Context Compression tools store data locally in files within the project directory, including the `.ai_reference` folder. No external databases are used.
From the repository root, run `python src/server.py`. Ensure all dependencies are installed and that port 8000 is not already in use.

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